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Brenna Curley & Anna Peterson. (2022) A Fresh Shot at Statistics in the Classroom: Three Perspectives Using World Cup Soccer Player Data. Journal of Statistics and Data Science Education 30:1, pages 86-98.
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Peter E. Freeman. (2021) Facilitating Authentic Practice for Early Undergraduate Statistics Students. The American Statistician 75:4, pages 433-444.
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David W. Gerbing. (2021) Enhancement of the Command-Line Environment for use in the Introductory Statistics Course and Beyond. Journal of Statistics and Data Science Education 29:3, pages 251-266.
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Brian Kim & Graham Henke. (2021) Easy-to-Use Cloud Computing for Teaching Data Science. Journal of Statistics and Data Science Education 29:sup1, pages S103-S111.
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Thomas Donoghue, Bradley Voytek & Shannon E. Ellis. (2021) Teaching Creative and Practical Data Science at Scale. Journal of Statistics and Data Science Education 29:sup1, pages S27-S39.
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Aimee Schwab-McCoy, Catherine M. Baker & Rebecca E. Gasper. (2021) Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years. Journal of Statistics and Data Science Education 29:sup1, pages S40-S50.
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Albert Y. Kim & Johanna Hardin. (2021) “Playing the Whole Game”: A Data Collection and Analysis Exercise With Google Calendar. Journal of Statistics and Data Science Education 29:sup1, pages S51-S60.
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Mine Dogucu & Mine Çetinkaya-Rundel. (2021) Web Scraping in the Statistics and Data Science Curriculum: Challenges and Opportunities. Journal of Statistics and Data Science Education 29:sup1, pages S112-S122.
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Articles from other publishers (8)
Kevin K.W. Ho, Ning Li & Kristina C. Sayama. (2023) Equip public managers with data analytics skills: a proposal for the new generation of MPA/MPP programs with data science track. Library Hi Tech.
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Nkosikhona Theoren Msweli, Tendani Mawela & Hossana Twinomurinzi. (2023) Transdisciplinary teaching practices for data science education: A comprehensive framework for integrating disciplines. Social Sciences & Humanities Open 8:1, pages 100628.
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Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick Widener & Ashley Cliff. (2021) Reusability First: Toward FAIR Workflows. Reusability First: Toward FAIR Workflows.
Joel C. Adams. (2020) Creating a Balanced Data Science Program. Creating a Balanced Data Science Program.
. (2020) Revista Digital Internacional de Psicología y Ciencia Social | Volumen 6 | Número 1 | Enero-Junio 2020 | Investigación y acción para el cambio social. Revista Digital Internacional de Psicología y Ciencia Social 6:1, pages 1-246.
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Arturo Silva Rodríguez & Esperanza Guarneros Reyes. (2020) Iniciación temprana en investigación. Modelos instruccionales actuales. Revista Digital Internacional de Psicología y Ciencia Social 6:1, pages 22-39.
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Rajendra K. Raj, Allen Parrish, John Impagliazzo, Carol J. Romanowski, Sherif G. Aly, Casey C. Bennett, Karen C. Davis, Andrew McGettrick, Teresa Susana Mendes Pereira & Lovisa Sundin. (2019) An Empirical Approach to Understanding Data Science and Engineering Education. An Empirical Approach to Understanding Data Science and Engineering Education.
Linda Harrington. (2019) Data Science: What Would Nightingale Do?. AACN Advanced Critical Care 30:4, pages 313-316.
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